Abstract
The digital twin is a burgeoning technology that has just recently gained popularity. The term “digital twin” refers to a virtual twin that is put on site with sensors that collect real-time data. Hard real-time embedded operating systems are required for operating systems that enable digital twins, which use real-time data. Digital twin indicates a virtual replica that takes into account both device dynamics and individual component parts. The digital twin's primary dynamic is represented by each and every component or gadget. Regardless of the gadget's physical, internal, or functional aspects, the physical device handles them all. The use of digital twins has grown around the globe. Different technologies, such as IoT, AI, ML, data mining, cloud computing, and others, benefit from this technique. This chapter presented the detailed view of this rapidly expanding field of study along with several digital twins application fields, emerging concerns, and future prospects. Also, this chapter discussed the relation between digital twin and latest technologies such as IoT, AI, etc.
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